Chong Zhang
ABSTRACT
As an intention database of hundreds of millions of consumers, web log data provide effective quantitative indicators for the study of consumer demand fluctuations. This study using Beijing second-hand housing as an example collects the web log data of 15 million users from about 300 real estate websites. Also, this study uses different types of real estate website pageview (PV), the number of unique users (UV) to measure the concerns and demand fluctuations of buyers and construct the lead, consistent and lag index of real estate transaction volume and test their relationship. The real estate index constructed in this paper is a supplement to the existing index system.
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Index Terms
- A Study of Real Estate Demanding Index Based on Massive Website Log Data
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